Noometry

Model comparison

MiMo-V2.6-Pro vs Mistral Large 3

MiMo-V2.6-Pro is the stronger model overall, scoring 50.3 to 39.1 on the Noometry Index.

Last verified . 14 shared benchmarks.

MiMo-V2.6-Pro Xiaomi

50.3

Rank #49 Confirmed

Mistral Large 3 Mistral AI

39.1

Rank #176 Confirmed

Summary

  • They share 14 benchmarks with published results for both. MiMo-V2.6-Pro scores higher in 9 categories and Mistral Large 3 in 0 categories; 9 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where MiMo-V2.6-Pro leads 43.1 to 15.2.
  • Mistral Large 3 is cheaper at $0.25 / $0.75 per million input/output tokens, against $0.43 / $0.87 for MiMo-V2.6-Pro.
  • MiMo-V2.6-Pro accepts more context: 1.05M tokens versus 262K.

Side by side

MiMo-V2.6-ProMistral Large 3
ProviderXiaomiMistral AI
Noometry Index50.339.1
Released2026-09-212025-12-02
WeightsOpenOpen
Context window1.05M262K
Max output131K8K
Input $ / M tokens$0.43$0.25
Output $ / M tokens$0.87$0.75
Results tracked1924

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Category by category

Coding MiMo-V2.6-Pro leads

MiMo-V2.6-Pro: 55.5 (#23), Mistral Large 3: 34.4 (#237)

BenchmarkMiMo-V2.6-ProMistral Large 3
LMArena WebDev16291230
LMArena Coding15341448
SciCode60.9%—
ALE-Bench1,158—

Agentic & Tool Use Not comparable

MiMo-V2.6-Pro: 37.5 (#35), Mistral Large 3: —

BenchmarkMiMo-V2.6-ProMistral Large 3
APEX-Agents59.5%—

Reasoning MiMo-V2.6-Pro leads

MiMo-V2.6-Pro: 43.1 (#50), Mistral Large 3: 15.2 (#319)

BenchmarkMiMo-V2.6-ProMistral Large 3
LMArena Hard Prompts15121429
Kagi LLM Benchmark—50.9%
NYT Connections (extended)—7.5%
CritPt26.6%—
Thematic Generalization—23%

Math MiMo-V2.6-Pro leads

MiMo-V2.6-Pro: 54.5 (#45), Mistral Large 3: 38.7 (#129)

BenchmarkMiMo-V2.6-ProMistral Large 3
LMArena Math14941414
ProofBench70%—

Knowledge MiMo-V2.6-Pro leads

MiMo-V2.6-Pro: 43.5 (#92), Mistral Large 3: 36.0 (#177)

BenchmarkMiMo-V2.6-ProMistral Large 3
LMArena Expert15431421
Vectara Hallucination Rate—14.5%

Multimodal MiMo-V2.6-Pro leads

MiMo-V2.6-Pro: 40.8 (#43), Mistral Large 3: 38.2 (#66)

BenchmarkMiMo-V2.6-ProMistral Large 3
LMArena Vision12641221

Multilingual MiMo-V2.6-Pro leads

MiMo-V2.6-Pro: 56.9 (#14), Mistral Large 3: 52.5 (#84)

BenchmarkMiMo-V2.6-ProMistral Large 3
LMArena Non-English14741413
LMArena Chinese15291447
LMArena Russian14801411
LMArena French—1455
LMArena German—1437
LMArena Japanese—1394
LMArena Korean—1384
LMArena Spanish—1440

Instruction Following MiMo-V2.6-Pro leads

MiMo-V2.6-Pro: 78.2 (#12), Mistral Large 3: 74.0 (#108)

BenchmarkMiMo-V2.6-ProMistral Large 3
LMArena Instruction Following14931403

Long Context MiMo-V2.6-Pro leads

MiMo-V2.6-Pro: 46.0 (#27), Mistral Large 3: 43.1 (#105)

BenchmarkMiMo-V2.6-ProMistral Large 3
LMArena Longer Query15011413

Writing & Preference MiMo-V2.6-Pro leads

MiMo-V2.6-Pro: 66.8 (#33), Mistral Large 3: 60.0 (#101)

BenchmarkMiMo-V2.6-ProMistral Large 3
LMArena Text14921428
LMArena Creative Writing14681386
LMArena Multi-Turn14641429
EQ-Bench Creative Writing—1412

Frequently asked questions

Is MiMo-V2.6-Pro better than Mistral Large 3?

MiMo-V2.6-Pro is the stronger model overall, scoring 50.3 to 39.1 on the Noometry Index.

Which is cheaper, MiMo-V2.6-Pro or Mistral Large 3?

Mistral Large 3 is cheaper. It lists at $0.25 per million input tokens and $0.75 per million output tokens; MiMo-V2.6-Pro lists at $0.43 and $0.87.

Is MiMo-V2.6-Pro or Mistral Large 3 better for coding?

MiMo-V2.6-Pro scores higher on coding benchmarks: 55.5 versus 34.4 in the Noometry coding category.

Which has the bigger context window?

MiMo-V2.6-Pro does, with 1.05M tokens against 262K.

How many benchmarks do MiMo-V2.6-Pro and Mistral Large 3 share?

14 benchmarks have published results for both models. MiMo-V2.6-Pro has 19 scored results on Noometry and Mistral Large 3 has 24.

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